Databricks(@databricks):A 2,500 GB database with a 20 GB hot working set doesn’t need 2,500 GB of RAM. That principle runs through Lakebase Postgres cost optimization: size around what your application actually needs. ✦ Sync only the working set your app queries ✦ Match Snapshot, Triggered or Continuous sync to freshness requirements ✦ Size compute so hot data fits in cache ✦ Set PITR and snapshots around actual recovery needs The full guide breaks down how to keep costs predictable while maintaining the performance, availability and developer experience applications need:

Databricks

@databricks

Databricks is the Data + AI company, helping organizations build and scale data and AI apps, analytics and agents.

参加 July 2013

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Databricks@databricks

2026.10.23 18:24

A 2,500 GB database with a 20 GB hot working set doesn’t need 2,500 GB of RAM. That principle runs through Lakebase Postgres cost optimization: size around what your application actually needs. ✦ Sync only the working set your app queries ✦ Match Snapshot, Triggered or Continuous sync to freshness requirements ✦ Size compute so hot data fits in cache ✦ Set PITR and snapshots around actual recovery needs The full guide breaks down how to keep costs predictable while maintaining the performance, availability and developer experience applications need: